--- name: agentcode description: "Smart routing across 7 verified free AI models with system detection and multi-language support for OpenCode." license: MIT version: "0.0.2" author: "AgentCode Contributors" category: "coding-agent" ---

# AgentCode - Smart Multi-Model Coding Agent

## What It Does

AgentCode routes coding tasks to the best free AI model automatically, with system detection and multi-language support.

## Features

### v0.0.2 New Features - **System Model Detection**: Detect AI models available on your system - **Interactive Setup Wizard**: Choose models based on detected capabilities - **Session Management**: Persistent sessions with context preservation - **Multi-Language Support**: 14+ programming languages with templates - **OpenClaw-Inspired Features**: Dynamic model switching and progress tracking

### Core Features - Smart task routing to optimal AI models - 7 verified free models with official sources - MIT licensed, production-ready

## Models

| Model | Provider | Best For | Context | |-------|----------|----------|---------| | MiMo-V2.5 | Xiaomi | Multimodal | 1M | | DeepSeek V4 Flash | DeepSeek | Speed (126 tok/s) | 1M | | Laguna S 2.1 | NVIDIA | Terminal | 1M | | Ling-3.0-flash | Alibaba | Efficiency | 256K | | North Mini Code | NVIDIA | Local | 256K | | Nemotron 3 Ultra | NVIDIA | Enterprise | 1M |

## Install

```bash mkdir -p ~/.config/opencode/skills/agentcode curl -fsSL https://raw.githubusercontent.com/mrcbrbn5361/agentcode/main/SKILL.md -o ~/.config/opencode/skills/agentcode/SKILL.md ```

## Quick Start

```python from agentcode import route_task, ModelType

# Basic routing model = route_task("Create FastAPI endpoint") print(model) # ModelType.DEEPSEEK

# System detection from detector import detect_system_models models = detect_system_models()

# Interactive setup from wizard import run_setup_wizard preferences = run_setup_wizard() ```

## API

### `route_task(task_description, has_image=False, context_size=0, is_local_only=False) -> ModelType`

Routes a task to the optimal model.

### `get_model_info(model: ModelType) -> Dict`

Gets model information (name, provider, strength).

### `detect_system_models() -> List[DetectedModel]`

Detects AI models available on the user's system.

### `run_setup_wizard() -> UserPreferences`

Runs interactive setup wizard for model selection.

### `get_session_manager() -> SessionManager`

Gets session manager for persistent coding sessions.

### `detect_project_language(project_path) -> ProgrammingLanguage`

Detects primary language of a project.

## System Detection

AgentCode automatically detects:

- **CLI Tools**: OpenAI, Anthropic, Ollama, llama.cpp, vLLM, LM Studio - **IDE Extensions**: VS Code Copilot, Cursor, Windsurf, JetBrains AI - **Cloud APIs**: OpenAI, Anthropic, Google, DeepSeek, Mistral, Groq - **Local Models**: Ollama models, LM Studio models

## Multi-Language Support

| Language | Expert Model | Linters | Formatters | |----------|--------------|---------|------------| | Python | MiMo-V2.5 | flake8, pylint, mypy | black, autopep8 | | JavaScript | MiMo-V2.5 | eslint, jshint | prettier | | TypeScript | MiMo-V2.5 | tsc, eslint | prettier | | Go | Laguna S 2.1 | golangci-lint | gofmt | | Rust | Laguna S 2.1 | clippy | rustfmt | | Java | Nemotron 3 Ultra | checkstyle, spotbugs | google-java-format | | C# | Nemotron 3 Ultra | dotnet format | dotnet format | | C++ | Laguna S 2.1 | cppcheck, clang-tidy | clang-format | | PHP | Ling-3.0-flash | phpcs, phpstan | php-cs-fixer | | Ruby | Ling-3.0-flash | rubocop | rubocop | | Swift | MiMo-V2.5 | swiftlint | swiftformat | | Kotlin | MiMo-V2.5 | ktlint, detekt | ktlint | | Scala | Nemotron 3 Ultra | scalastyle | scalafmt | | Shell | Laguna S 2.1 | shellcheck | shfmt |

## Routing Rules

1. Image/Audio → MiMo-V2.5 2. Docker/Bash → Laguna S 2.1 3. Speed keywords → DeepSeek V4 Flash 4. Context >256K → Nemotron 3 Ultra 5. Local only → North Mini Code 6. Default → Ling-3.0-flash

## Session Management

```python from sessions import get_session_manager, get_model_switcher

# Create session manager = get_session_manager() session = manager.create_session("mimo", "Create API", "python")

# Switch models switcher = get_model_switcher() switcher.switch_model("deepseek")

# Get statistics stats = manager.get_session_stats() ```

## Configuration

Configuration saved to `~/.agentcode/config.json`:

```json { "version": "0.0.2", "selected_models": { "primary": "mimo", "fallback": ["deepseek", "laguna"], "terminal": "laguna", "multimodal": "mimo", "local": "north" }, "user_preferences": { "priority": "speed", "privacy_mode": false, "auto_fallback": true } } ```

## License

MIT